Peter Schwab

34 papers receiving 277 citations

Peers

Peter Schwab
Comparison fields: 5 of 86
  • Soil Science 66
  • Political Science and International Relations 120
  • History 35
  • Sociology and Political Science 119
  • Anthropology 26
Replace Davison Muchadenyika with:
Davison Muchadenyika South Africa
Fred Zaal Netherlands
Kenichi Matsui Japan
Hervé Théry France
David Smith United States
Pierre Crosson
Mulatu Wubneh United States
Farai Mtero South Africa
Noémi Gonda Sweden
Horman Chitonge South Africa
Peter Schwab relative to Davison Muchadenyika South Africa Davison Muchadenyika's profile →
Citations per field
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Davison Muchadenyika · 1×
Citations per year

Countries citing papers authored by Peter Schwab

Since Specialization
Citations

This map shows the geographic impact of Peter Schwab'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 Peter Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Schwab more than expected).

Fields of papers citing papers by Peter Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Schwab. 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 Peter Schwab. The network helps show where Peter Schwab may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Schwab, 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 Peter Schwab Line = papers co-authored together Peter Schwab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198082
2 201950
3 199128
4 201827
5 201024
6 200215
7 202114
8
Toward a human rights framework
198212
9 197812
10
Decision-making in Ethiopia: A study of the political process
197211
11 198510
12 20179
13 19757
14 19936
15 20046
16 19806
17 20045
18 20184
19 19763
20 20183

About Peter Schwab

Peter Schwab is a scholar working on Political Science and International Relations, Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science, having authored 39 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (8 papers), African history and culture analysis (8 papers), Data Quality and Management (6 papers), Data Management and Algorithms (3 papers), Soil Geostatistics and Mapping (3 papers), Semantic Web and Ontologies (3 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers) and Historical and Contemporary Political Dynamics (2 papers). The work is most often cited by research in Soil Science (66 citations), Political Science and International Relations (120 citations), History (35 citations), Sociology and Political Science (119 citations) and Anthropology (26 citations). Peter Schwab has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Adamantia Pollis, Otwin Marenin, Armin Keller, Michael Müller, Andreas Gubler, Daniel Wächter, André Desaules, Jennifer Seymour Whitaker, Lucie Greiner and Adrienne Grêt‐Regamey. Their work appears in journals such as Canadian Journal of African Studies / Revue canadienne des études africaines, The Journal of Modern African Studies, The International Journal of African Historical Studies, African Studies Review and Medical Teacher.

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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