Michael Kleinsasser

24 total papers · 487 total citations
11 papers, 208 citations indexed

About

Michael Kleinsasser is a scholar working on Modeling and Simulation, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, Michael Kleinsasser has authored 11 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Modeling and Simulation, 4 papers in Infectious Diseases and 3 papers in Economics and Econometrics. Recurrent topics in Michael Kleinsasser's work include COVID-19 epidemiological studies (6 papers), COVID-19 Pandemic Impacts (3 papers) and COVID-19 Clinical Research Studies (2 papers). Michael Kleinsasser is often cited by papers focused on COVID-19 epidemiological studies (6 papers), COVID-19 Pandemic Impacts (3 papers) and COVID-19 Clinical Research Studies (2 papers). Michael Kleinsasser collaborates with scholars based in United States, India and Germany. Michael Kleinsasser's co-authors include Soumik Purkayastha, Daniel Barker, Bhramar Mukherjee, Debashree Ray, Yiwang Zhou, Lili Wang, Peter X.‐K. Song, Maxwell Salvatore, Rupam Bhattacharyya and Lauren J. Beesley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geochimica et Cosmochimica Acta and Science Advances.

In The Last Decade

Michael Kleinsasser

11 papers receiving 205 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Kleinsasser 115 72 58 30 19 11 208
Asami Anzai 161 1.4× 59 0.8× 92 1.6× 32 1.1× 26 1.4× 12 242
Corentin Cot 113 1.0× 51 0.7× 46 0.8× 35 1.2× 13 0.7× 6 181
Jessica R. E. Bridgen 165 1.4× 116 1.6× 59 1.0× 43 1.4× 10 0.5× 6 226
Sylvia K. Ofori 114 1.0× 56 0.8× 50 0.9× 23 0.8× 22 1.2× 19 204
Jingyi Liao 159 1.4× 100 1.4× 85 1.5× 25 0.8× 16 0.8× 12 256
Nina Gorišek Miksić 110 1.0× 46 0.6× 61 1.1× 44 1.5× 7 0.4× 9 218
Remy Pasco 166 1.4× 70 1.0× 72 1.2× 50 1.7× 10 0.5× 12 255
Marc Massetti 165 1.4× 53 0.7× 60 1.0× 65 2.2× 10 0.5× 5 272
Ahmadou Lamin Samateh 82 0.7× 51 0.7× 44 0.8× 18 0.6× 10 0.5× 9 160
Mustapha Bittaye 79 0.7× 46 0.6× 43 0.7× 17 0.6× 10 0.5× 6 142

Countries citing papers authored by Michael Kleinsasser

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kleinsasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kleinsasser

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kleinsasser. A scholar is included among the top collaborators of Michael Kleinsasser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Kleinsasser. Michael Kleinsasser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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