Respickius Casmir

27 total papers · 497 total citations
12 papers, 283 citations indexed

About

Respickius Casmir is a scholar working on Information Systems, General Agricultural and Biological Sciences and Artificial Intelligence. According to data from OpenAlex, Respickius Casmir has authored 12 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 2 papers in General Agricultural and Biological Sciences and 2 papers in Artificial Intelligence. Recurrent topics in Respickius Casmir's work include Mathematics Education and Pedagogy (2 papers), Agricultural Innovations and Practices (2 papers) and Online and Blended Learning (1 paper). Respickius Casmir is often cited by papers focused on Mathematics Education and Pedagogy (2 papers), Agricultural Innovations and Practices (2 papers) and Online and Blended Learning (1 paper). Respickius Casmir collaborates with scholars based in Tanzania and Finland. Respickius Casmir's co-authors include Mzomwe Yahya Mazana, Calkin Suero Montero, M. R. S. Mlozi, S. D. Tumbo, Louise Yngström, H. F. Mahoo and Edda Tandi Lwoga and has published in prestigious journals such as International Electronic Journal of Mathematics Education, KTH Publication Database DiVA (KTH Royal Institute of Technology) and European Journal of Theoretical and Applied Sciences.

In The Last Decade

Respickius Casmir

10 papers receiving 240 citations

Author Peers

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

Author Last Decade Papers Cites
Respickius Casmir 165 75 45 28 25 12 283
Alan Bates 238 1.4× 23 0.3× 26 0.6× 36 1.3× 14 0.6× 14 291
Fatma Aslan-Tutak 270 1.6× 46 0.6× 22 0.5× 47 1.7× 6 0.2× 16 314
Mogege Mosimege 241 1.5× 40 0.5× 25 0.6× 81 2.9× 8 0.3× 26 312
Lawrence M. Clark 300 1.8× 45 0.6× 19 0.4× 38 1.4× 9 0.4× 12 318
Toya Jones Frank 246 1.5× 42 0.6× 9 0.2× 27 1.0× 11 0.4× 17 268
Bhesh Mainali 138 0.8× 52 0.7× 40 0.9× 29 1.0× 2 0.1× 11 198
Mzomwe Yahya Mazana 166 1.0× 75 1.0× 29 0.6× 28 1.0× 2 0.1× 10 219
Jennifer McGee 229 1.4× 18 0.2× 11 0.2× 50 1.8× 16 0.6× 17 265
Björn Palmberg 240 1.5× 27 0.4× 37 0.8× 48 1.7× 3 0.1× 16 283
María Salett Biembengut 184 1.1× 25 0.3× 18 0.4× 40 1.4× 4 0.2× 14 231

Countries citing papers authored by Respickius Casmir

Since Specialization
Citations

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

Fields of papers citing papers by Respickius Casmir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Respickius Casmir

This figure shows the co-authorship network connecting the top 25 collaborators of Respickius Casmir. A scholar is included among the top collaborators of Respickius Casmir 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 Respickius Casmir. Respickius Casmir 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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