The Institute for Research on World-Systems
Parent: UC Riverside
eScholarship stats: Breakdown by Item for April through July, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 9jj9j6z7 | Resetting History’s Dial? A Critique of David Graeber and David Wengrow, The Dawn of Everything: A New History of Humanity | 2,525 | 1,039 | 1,486 | 41.1% |
| 6qp8x28p | Modeling Social Pressures Toward Political Instability | 2,103 | 853 | 1,250 | 40.6% |
| 82s3p5hj | Toward Cliodynamics – an Analytical, Predictive Science of History | 1,597 | 264 | 1,333 | 16.5% |
| 8p0176zr | On the Life Cycle of Empires | 1,186 | 418 | 768 | 35.2% |
| 3mw3d3r7 | CRISES AVERTED. How A Few Past Societies Found Adaptive Reforms in the Face of Structural-Demographic Crises | 1,124 | 507 | 617 | 45.1% |
| 8cs3q9xt | A review essay on End Times: Elites, Counter-Elites, and the Path of Political Disintegration by Peter Turchin (Penguin Random House 2023) | 1,119 | 206 | 913 | 18.4% |
| 8r85g67d | Demographic Structural Theory: 25 Years On | 1,055 | 148 | 907 | 14.0% |
| 9qx38718 | Seshat: The Global History Databank | 911 | 226 | 685 | 24.8% |
| 5mv6v0r1 | A Dynamic Theory of Battle Victory and Defeat | 860 | 328 | 532 | 38.1% |
| 5j8740dz | The Roman Dominate from the Perspective of Demographic-Structural Theory | 725 | 142 | 583 | 19.6% |
| 3wc3p3hf | Early Cities in The Dawn of Everything: Shoddy Scholarship in Support of Pedestrian Conclusions | 719 | 252 | 467 | 35.0% |
| 981121t8 | Tribal Social Instincts and the Cultural Evolution of Institutions to Solve Collective Action Problems | 660 | 142 | 518 | 21.5% |
| 8jr9v920 | The Evolution of War | 656 | 170 | 486 | 25.9% |
| 58z1j452 | A Mathematical Model of Civilizational Dynamics: Quantifying Toynbee’s Challenge–Response Theory with Newtonian Mechanics | 638 | 318 | 320 | 49.8% |
| 4t32q1mj | Anvil Age Economy: A Map of the Spread of Iron Metallurgy across Afro-Eurasia | 619 | 243 | 376 | 39.3% |
| 62c908fk | Seshat: Global History Databank Publishes First Set of Historical Data | 598 | 77 | 521 | 12.9% |
| 3861g21r | A Dynamic Analysis of American Socio-Political History. A Review of Ages of Discord: A Structural Demographic Analysis of American History by Peter Turchin (Beresta Books, 2016) | 590 | 100 | 490 | 16.9% |
| 1sj9n878 | Circumscription Theory of the Origins of the State: A Cross-Cultural Re-Analysis | 571 | 109 | 462 | 19.1% |
| 79t737gt | A Trap At The Escape From The Trap? Demographic-Structural Factors of Political Instability in Modern Africa and West Asia | 554 | 184 | 370 | 33.2% |
| 9v71n5h4 | A ‘Perfect Storm’ in the Collapse of Bronze Age Civilization? Useful Insights and Roads not Taken | 533 | 270 | 263 | 50.7% |
| 2cz4q2jq | The Growth and Decline of the Western Roman Empire: Quantifying the Dynamics of Army Size, Territory, and Coinage | 526 | 231 | 295 | 43.9% |
| 97p470sx | Why Has the Number of International Non-Governmental Organizations Exploded since 1960? | 526 | 139 | 387 | 26.4% |
| 0g05k07v | A History of Possible Futures: Multipath Forecasting of Social Breakdown, Recovery, and Resilience | 511 | 181 | 330 | 35.4% |
| 72g2v469 | Modeling Social Pressures Toward Political Instability in the United Kingdom after 1960: A Demographic Structural Analysis | 507 | 118 | 389 | 23.3% |
| 29z4c9n6 | Jewish Networks in the Spread of Early Christianity: A Mathematical Model of Marcionite and Lukan Christianities | 486 | 186 | 300 | 38.3% |
| 8qq4w9q5 | Mapping the Spread of Mounted Warfare | 470 | 125 | 345 | 26.6% |
| 2rf8c7zk | Explaining British Political Stability After 1832 | 452 | 113 | 339 | 25.0% |
| 0415c0pj | Modeling Strategic Decisions in the Formation of the Early Neo-Assyrian Empire | 449 | 161 | 288 | 35.9% |
| 74j910z1 | Indo-Europeans Were the Most Historically Significant Nomads of the Steppes | 444 | 84 | 360 | 18.9% |
| 230872k1 | Application of Mathematical Models to English Secular Cycles | 430 | 101 | 329 | 23.5% |
| 6n09f7gr | For Cause and Comrade: Devoted Actors and Willingness to Fight | 407 | 87 | 320 | 21.4% |
| 3rt8w616 | Grain Yields and the Causes of the Russian Revolution | 404 | 100 | 304 | 24.8% |
| 2v8119hf | A Historical Database of Sociocultural Evolution | 398 | 128 | 270 | 32.2% |
| 20p8h7j2 | Growth of human capital in the regions of the Russian Empire in 1897-1913: the role of local self-government bodies (zemstva) financing | 395 | 149 | 246 | 37.7% |
| 07k5m5q4 | Quantifying History Across Eras: Benchmarking the Battle of Granicus from Troy to WWII through DEA Analysis | 392 | 136 | 256 | 34.7% |
| 6244v78z | Seeing the Forest of Secular Cycles | 383 | 225 | 158 | 58.7% |
| 1xt9k875 | Linking “Micro” to “Macro” Models of State Breakdown to Improve Methods for Political Forecasting | 377 | 141 | 236 | 37.4% |
| 99q0d3k2 | Exploring Phenomenological Models for Societal and Technological Transitions of the Neolithic Revolution and Early Civilization Formation. | 377 | 166 | 211 | 44.0% |
| 6jz4h6rt | International Systems and Cognitive Dissonances: beyond rational agents | 375 | 56 | 319 | 14.9% |
| 43w3q5kp | Institutional Rigidity and Evolutionary Theory: Trapped on a Local Maximum | 368 | 167 | 201 | 45.4% |
| 4h29270b | Agricultural productivity in past societies: Toward an empirically informed model for testing cultural evolutionary hypotheses | 361 | 125 | 236 | 34.6% |
| 8bm04882 | Inequality and Institutions: A Review Essay on Why Nations Fail by Daron Acemoglu and James A. Robinson | 361 | 87 | 274 | 24.1% |
| 01m702z1 | The Computational Power of a Human Society: a New Model of Social Evolution | 353 | 191 | 162 | 54.1% |
| 5536t55r | Cycling in the Complexity of Early Societies | 347 | 151 | 196 | 43.5% |
| 0xt1v06c | Secular Cycles and Millennial Trends | 339 | 161 | 178 | 47.5% |
| 7wn9b6mn | War, Peace, and Everything: Thoughts on Tolstoy | 335 | 118 | 217 | 35.2% |
| 7hk1254d | Wheat flour versus rice consumption and vascular diseases: Evidence from the China Study II data | 328 | 120 | 208 | 36.6% |
| 79b6v6tv | The Silk Roads: a Mathematical Model | 325 | 122 | 203 | 37.5% |
| 99x6r11m | Fitting Dynamic Regression Models to Seshat Data | 321 | 167 | 154 | 52.0% |
| 3tk971d2 | Complexity in Big History | 318 | 81 | 237 | 25.5% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.