H. -J. Czerwon

642 citations
12 papers · 528 · h-index 9

Impact in

Papers in

H. -J. Czerwon

9 papers receiving 456 citations

Peers

H. -J. Czerwon
Comparison fields: 5 of 105
  • Statistics, Probability and Uncertainty 261
  • Information Systems and Management 45
  • Information Systems 111
  • Statistical and Nonlinear Physics 57
  • Management of Technology and Innovation 34
Replace Francisco José Muñoz-Fernández with:
Francisco José Muñoz-Fernández Spain
Renger E. de Bruin Netherlands
John Whittaker United Kingdom
Manfred Bonitz Germany
Wolfgang Glänzel Hungary
J. G. Frankfort Netherlands
Paul Nicholls Canada
Clara Calero‐Medina Netherlands
Ed J. Rinia Netherlands
Stephen J. Bensman United States
H. -J. Czerwon relative to Francisco José Muñoz-Fernández Spain Francisco José Muñoz-Fernández's profile →
Citations per field
00.5×1.5×
Francisco José Muñoz-Fernández · 1×
Citations per year

Countries citing papers authored by H. -J. Czerwon

Since Specialization
Citations

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

Fields of papers citing papers by H. -J. Czerwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. -J. Czerwon. 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 H. -J. Czerwon. The network helps show where H. -J. Czerwon may publish in the future.

Co-authors

The 9 scholars most cited alongside H. -J. Czerwon, 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 H. -J. Czerwon Line = papers co-authored together H. -J. Czerwon links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1996175
2 1999174
3 199987
4 199929
5 199219
6 199014
7 199310
8 19869
9 19868
10 19862
11
Die Wissenschaft in osteuropäischen Ländern im internationalen Vergleich – eine quantitative Analyse auf der Grundlage wissenschaftsmetrischer Indikatoren
19911
12 19910

About H. -J. Czerwon

H. -J. Czerwon is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Political Science and International Relations, Museology and General Social Sciences, having authored 12 papers that have together received 528 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (7 papers), Research Data Management Practices (1 paper), Computational and Text Analysis Methods (1 paper), Dark Matter and Cosmic Phenomena (1 paper), International Science and Diplomacy (1 paper), Particle physics theoretical and experimental studies (1 paper), Web visibility and informetrics (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (261 citations), Information Systems and Management (45 citations), Information Systems (111 citations), Statistical and Nonlinear Physics (57 citations) and Management of Technology and Innovation (34 citations). H. -J. Czerwon has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Wolfgang Glänzel, A. Schubert, Wolfgang Glänzel, Urs Schoepflin, Frank Havemann, Jan Vlachý, Manfred Bonitz, Andrea Scharnhorst and Péter Vinkler. Their work appears in journals such as Scientometrics, Research Evaluation, Czechoslovak Journal of Physics and Physikalische Blätter.

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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