Jens Nieschulze

2.4k total citations · 1 hit paper
18 papers, 999 citations indexed

About

Jens Nieschulze is a scholar working on Ecology, Information Systems and Management and Ecological Modeling. According to data from OpenAlex, Jens Nieschulze has authored 18 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 5 papers in Information Systems and Management and 5 papers in Ecological Modeling. Recurrent topics in Jens Nieschulze's work include Species Distribution and Climate Change (5 papers), Scientific Computing and Data Management (5 papers) and Research Data Management Practices (4 papers). Jens Nieschulze is often cited by papers focused on Species Distribution and Climate Change (5 papers), Scientific Computing and Data Management (5 papers) and Research Data Management Practices (4 papers). Jens Nieschulze collaborates with scholars based in Germany, Panama and France. Jens Nieschulze's co-authors include Elisabeth K. V. Kalko, Ernst‐Detlef Schulze, Dominik Hessenmöller, Sonja Kaiser, Kirsten Jung, Swen C. Renner, Stefan Böhm, K. Eduard Linsenmair, Wolfgang W. Weisser and Andreas Hemp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Journal of Applied Ecology.

In The Last Decade

Jens Nieschulze

17 papers receiving 979 citations

Hit Papers

Implementing large-scale and long-term functional biodive... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jens Nieschulze Germany 9 409 390 315 257 214 18 999
Sonja Gockel Germany 6 342 0.8× 375 1.0× 449 1.4× 290 1.1× 286 1.3× 6 966
Falk Hänsel Germany 7 244 0.6× 263 0.7× 265 0.8× 192 0.7× 206 1.0× 9 693
Juyu Lian China 18 412 1.0× 366 0.9× 724 2.3× 143 0.6× 215 1.0× 63 1.3k
Stephan Wöllauer Germany 8 365 0.9× 494 1.3× 367 1.2× 358 1.4× 169 0.8× 10 1.2k
Andrew R. Moldenke United States 23 546 1.3× 720 1.8× 597 1.9× 552 2.1× 467 2.2× 57 1.7k
Christie A. Bahlai United States 21 294 0.7× 461 1.2× 246 0.8× 607 2.4× 413 1.9× 57 1.2k
Pablo Cuevas‐Reyes Mexico 19 445 1.1× 866 2.2× 521 1.7× 324 1.3× 329 1.5× 73 1.4k
Charles J. Marsh United Kingdom 16 520 1.3× 234 0.6× 367 1.2× 88 0.3× 136 0.6× 28 1.1k
Annie Ouin France 21 395 1.0× 608 1.6× 493 1.6× 396 1.5× 293 1.4× 38 1.2k
Tom Swinfield United Kingdom 20 370 0.9× 222 0.6× 489 1.6× 127 0.5× 182 0.9× 32 1.0k

Countries citing papers authored by Jens Nieschulze

Since Specialization
Citations

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

Fields of papers citing papers by Jens Nieschulze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Nieschulze

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Nieschulze. A scholar is included among the top collaborators of Jens Nieschulze 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 Jens Nieschulze. Jens Nieschulze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Geschke, Jonas, Katrin Vohland, Aletta Bonn, et al.. (2019). Biodiversitätsmonitoring in Deutschland: Wie Wissenschaft, Politik und Zivilgesellschaft ein nationales Monitoring unterstützen können. GAIA - Ecological Perspectives for Science and Society. 28(3). 265–270. 4 indexed citations
2.
Renner, Swen C., Marcela Suarez‐Rubio, Sonja Kaiser, et al.. (2018). Divergent response to forest structure of two mobile vertebrate groups. Forest Ecology and Management. 415-416. 129–138. 22 indexed citations
3.
Diepenbroek, Michael, Frank Oliver Glöckner, Peter Grobe, et al.. (2014). Towards an integrated biodiversity and ecological research data management and archiving platform: the German federation for the curation of biological data (GFBio). GI-Jahrestagung. 1711–1721. 86 indexed citations
4.
Nieschulze, Jens, Rainer Zimmermann, Annett Börner, & Ernst‐Detlef Schulze. (2012). An assessment of forest canopy structure by LiDAR: Derivation and stability of canopy structure parameters across forest management types. 83(6). 195–209. 8 indexed citations
6.
Bendix, Jörg, Jens Nieschulze, & William K. Michener. (2012). Data platforms in integrative biodiversity research. Ecological Informatics. 11. 1–4. 7 indexed citations
7.
Jung, Kirsten, Sonja Kaiser, Stefan Böhm, Jens Nieschulze, & Elisabeth K. V. Kalko. (2012). Moving in three dimensions: effects of structural complexity on occurrence and activity of insectivorous bats in managed forest stands. Journal of Applied Ecology. 49(2). 523–531. 167 indexed citations
8.
Hessenmöller, Dominik, Jens Nieschulze, Nikolas von Lüpke, & Ernst‐Detlef Schulze. (2011). Identification of forest management types from ground-based and remotely sensed variables and the effects of forest management on forest structure and composition. 82. 171–183. 34 indexed citations
9.
Nieschulze, Jens, et al.. (2010). A flexible statistics web processing service - Added value for information systems for experiment data. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 7(1). 3 indexed citations
10.
Fischer, Markus, Oliver Bossdorf, Sonja Gockel, et al.. (2010). Implementing large-scale and long-term functional biodiversity research: The Biodiversity Exploratories. Basic and Applied Ecology. 11(6). 473–485. 614 indexed citations breakdown →
11.
Nieschulze, Jens, et al.. (2010). A flexible statistics web processing service - Added value for information systems for experiment data. SHILAP Revista de lepidopterología. 7(1). 4 indexed citations
12.
Nieschulze, Jens, et al.. (2009). A web service based approach for integrating statistics tools into an information system for experiment data. Max Planck Institute for Plasma Physics. 680–686. 2 indexed citations
13.
Nieschulze, Jens, Stefan Erasmi, Johannes Dietz, & Dirk Hölscher. (2008). Satellite-based prediction of rainfall interception by tropical forest stands of a human-dominated landscape in Central Sulawesi, Indonesia. Journal of Hydrology. 364(3-4). 227–235. 11 indexed citations
14.
Li, Shiming, Joachim Saborowski, Jens Nieschulze, et al.. (2007). Web service based spatial forest information system using an open source software approach. Journal of Forestry Research. 18(2). 85–90. 9 indexed citations
15.
Schachtel, Gabriel, et al.. (2006). Grundlegende Anforderungen an das Datenmanagement in interdisziplinären Forschungsprojekten. 185–188. 1 indexed citations
16.
Holopainen, Markus, et al.. (2005). Forest biodiversity inventory by means of digital aerial photographs and laser scanner data.. 340–348.
17.
Feranec, Ján, et al.. (2005). Land cover changes of Slovakia in the period 1990-2000.. 139–147. 9 indexed citations
18.
Schachtel, Gabriel, et al.. (2004). Web-basiertes GIS als Informationssystem interdisziplinerer Forschungsprojekte.. 85–88. 1 indexed citations

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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