Calla Hummel

477 citations
21 papers · 240 · h-index 9

Impact in

Papers in

Calla Hummel

18 papers receiving 231 citations

Peers

Calla Hummel
Comparison fields: 5 of 62
  • Modeling and Simulation 25
  • Health 25
  • Economics and Econometrics 68
  • Sociology and Political Science 106
  • General Health Professions 49
Replace Mariano Sánchez-Talanquer with:
Mariano Sánchez-Talanquer Mexico
Lawrence Ka-Ki Ho Hong Kong
Gaetano Basso Italy
Faraha Nawaz Bangladesh
Peyvand Khaleghian United States
Sarah Engler Switzerland
Mariana Chudnovsky Mexico
Hana Brixi United States
Platon Tinios Greece
Yarine Fawaz Spain
Calla Hummel relative to Mariano Sánchez-Talanquer Mexico Mariano Sánchez-Talanquer's profile →
Citations per field
00.5×10×
Mariano Sánchez-Talanquer · 1×
Citations per year

Countries citing papers authored by Calla Hummel

Since Specialization
Citations

This map shows the geographic impact of Calla Hummel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Calla Hummel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Calla Hummel more than expected).

Fields of papers citing papers by Calla Hummel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Calla Hummel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Calla Hummel. The network helps show where Calla Hummel may publish in the future.

Co-authors

The 20 scholars most cited alongside Calla Hummel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Calla Hummel Line = papers co-authored together Calla Hummel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 202136
3 202125
4 201924
5 202019
6 202218
7 202116
8 202112
9 20219
10 20187
11 20227
12 20186
13 20244
14 20233
15
Bolivia: lecciones sobre los primeros seis meses de la pandemia de SARS-CoV-2
20203
16 20212
17 20231
18 20241
19 20230
20 20250

About Calla Hummel

Calla Hummel is a scholar working on Sociology and Political Science, Economics and Econometrics, General Health Professions, Modeling and Simulation and Political Science and International Relations, having authored 21 papers that have together received 240 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Taxation and Compliance Studies (4 papers), Sex work and related issues (3 papers), COVID-19 Pandemic Impacts (3 papers), Corruption and Economic Development (2 papers), Crime, Illicit Activities, and Governance (2 papers), Digital Economy and Work Transformation (2 papers) and Food Security and Health in Diverse Populations (2 papers). The work is most often cited by research in Modeling and Simulation (25 citations), Health (25 citations), Economics and Econometrics (68 citations), Sociology and Political Science (106 citations) and General Health Professions (49 citations). Calla Hummel has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Carew Boulding, Felícia Marie Knaul, John Gerring, Michael Touchton, Thalia Porteny, Alisha C. Holland, Jorge Insúa, Héctor Arreola‐Ornelas, Mariano Sánchez-Talanquer and Óscar Javier Montiel Méndez. Their work appears in journals such as PS Political Science & Politics, Latin American Politics and Society, Comparative Political Studies, The Lancet Global Health and Perspectives on Politics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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