Markus Konkol

1.3k citations
13 papers · 176 · h-index 5

Impact in

Papers in

Markus Konkol

12 papers receiving 174 citations

Peers

Markus Konkol
Comparison fields: 5 of 58
  • Information Systems and Management 96
  • Geography, Planning and Development 23
  • Ecological Modeling 15
  • Information Systems 78
  • Geochemistry and Petrology 9
Replace Daniel Nüst with:
Daniel Nüst Germany
Barbara Hofer Austria
Lorenzo Bigagli Italy
Doug Nebert United States
Mustapha Mokrane United Kingdom
Simon Hodson United States
Anders Friis‐Christensen Denmark
Reyna Jenkyns Canada
Donatello Elia Italy
Barbara Sierman Netherlands
Markus Konkol relative to Daniel Nüst Germany Daniel Nüst's profile →
Citations per field
00.5×1.6×
Daniel Nüst · 1×
Citations per year

Countries citing papers authored by Markus Konkol

Since Specialization
Citations

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

Fields of papers citing papers by Markus Konkol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Markus Konkol, 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 Markus Konkol Line = papers co-authored together Markus Konkol links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201852
2 201846
3 202027
4 201723
5 201811
6 20194
7 20203
8 20193
9 20192
10 20212
11 20212
12 20181
13 20210

About Markus Konkol

Markus Konkol is a scholar working on Information Systems and Management, Information Systems, Computer Vision and Pattern Recognition, Geochemistry and Petrology and Artificial Intelligence, having authored 13 papers that have together received 176 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (11 papers), Research Data Management Practices (7 papers), Geological Modeling and Analysis (2 papers), Data Visualization and Analytics (2 papers), Geographic Information Systems Studies (2 papers), Data Management and Algorithms (1 paper), Open Education and E-Learning (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Information Systems and Management (96 citations), Geography, Planning and Development (23 citations), Ecological Modeling (15 citations), Information Systems (78 citations) and Geochemistry and Petrology (9 citations). Markus Konkol has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Christian Kray, Daniel Nüst, Max Pfeiffer, Carlos Granell, Frank Ostermann, Barbara Hofer, Edzer Pebesma, R. Zurita‐Milla, Marta Teperek and Roelof Rietbroek. Their work appears in journals such as D-Lib Magazine, PeerJ, Cartography and Geographic Information Science, Proceedings of the ACM on Human-Computer Interaction and PubMed.

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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