Sandra Gesing

87 papers receiving 1.4k citations

Peers

Sandra Gesing
Comparison fields: 5 of 74
  • Information Systems and Management 117
  • Computer Networks and Communications 111
  • Public Health, Environmental and Occupational Health 113
  • Computational Theory and Mathematics 55
  • Information Systems 77
Replace Christophe Blanchet with:
Christophe Blanchet France
Fotis Psomopoulos Greece
Alejandra N Gonzalez-Beltran United Kingdom
Sebastian Will Germany
Maria Chatzou Spain
Valmir Carneiro Barbosa Brazil
Sarah Cohen‐Boulakia France
Ezekiel Femi Adebiyi Nigeria
Michael Robin Crusoe United States
Maria C. Costanzo United States
Sandra Gesing relative to Christophe Blanchet France Christophe Blanchet's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sandra Gesing

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Gesing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014449
2 2009171
3 2014130
4 201452
5 201943
6 201241
7 201833
8 201327
9 202227
10 201320
11 201417
12 201716
13 201816
14 202116
15 202316
16 201815
17 201613
18 202013
19 201412
20 201612

About Sandra Gesing

Sandra Gesing is a scholar working on Information Systems and Management, Computer Networks and Communications, Hardware and Architecture, Information Systems and Computational Theory and Mathematics, having authored 93 papers that have together received 1.5k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (28 papers), Distributed and Parallel Computing Systems (19 papers), Research Data Management Practices (4 papers), Parallel Computing and Optimization Techniques (3 papers), Genomics and Phylogenetic Studies (2 papers), Computational Drug Discovery Methods (2 papers), Cloud Computing and Resource Management (1 paper) and Research on Leishmaniasis Studies (1 paper). The work is most often cited by research in Information Systems and Management (117 citations), Computer Networks and Communications (111 citations), Public Health, Environmental and Occupational Health (113 citations), Computational Theory and Mathematics (55 citations) and Information Systems (77 citations). Sandra Gesing has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Gregory R. Madey, Scott Emrich, Gareth Ll. Maslen, Daniel Lawson, Emmanuel Dialynas, Pantelis Topalis, Frank H. Collins, Robert M. MacCallum, Gloria I. Giraldo-Calderón and Horacio Pérez‐Sánchez. Their work appears in journals such as Future Generation Computer Systems, Journal of Cheminformatics, BioMed Research International, Journal of Grid Computing and Wellcome Open Research.

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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