Micha Pazner

13 total papers · 438 total citations
11 papers, 367 citations indexed

About

Micha Pazner is a scholar working on Artificial Intelligence, Signal Processing and Media Technology. According to data from OpenAlex, Micha Pazner has authored 11 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Signal Processing and 3 papers in Media Technology. Recurrent topics in Micha Pazner's work include Geochemistry and Geologic Mapping (3 papers), Data Management and Algorithms (3 papers) and Remote-Sensing Image Classification (3 papers). Micha Pazner is often cited by papers focused on Geochemistry and Geologic Mapping (3 papers), Data Management and Algorithms (3 papers) and Remote-Sensing Image Classification (3 papers). Micha Pazner collaborates with scholars based in Canada and China. Micha Pazner's co-authors include Xianfeng Zhang, N Duke, M. A. Maun, Jeffery P. Dech, Jacek Malczewski, Jonathan Raper, Darren M. Scott and Yongliang Chen and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, CATENA and Geographical Journal.

In The Last Decade

Micha Pazner

10 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
Micha Pazner 294 234 120 63 50 11 367
Ehsan Farahbakhsh 253 0.9× 166 0.7× 99 0.8× 90 1.4× 61 1.2× 26 348
Árpád Csámer 340 1.2× 200 0.9× 146 1.2× 83 1.3× 76 1.5× 25 428
Sabreen Gad 338 1.1× 240 1.0× 119 1.0× 51 0.8× 64 1.3× 5 387
Robert Jackisch 169 0.6× 152 0.6× 61 0.5× 61 1.0× 16 0.3× 25 376
Maarten Haest 356 1.2× 110 0.5× 73 0.6× 80 1.3× 87 1.7× 18 439
Qingmou Li 114 0.4× 80 0.3× 148 1.2× 14 0.2× 41 0.8× 16 333
N Duke 302 1.0× 207 0.9× 102 0.8× 51 0.8× 53 1.1× 10 343
Chandan Kumar 209 0.7× 187 0.8× 104 0.9× 75 1.2× 35 0.7× 17 423
Francisco Vileimar Andrade de Azevedo 345 1.2× 287 1.2× 151 1.3× 54 0.9× 45 0.9× 7 382
Mohammad Parsa 373 1.3× 172 0.7× 110 0.9× 185 2.9× 97 1.9× 22 436

Countries citing papers authored by Micha Pazner

Since Specialization
Citations

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

Fields of papers citing papers by Micha Pazner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micha Pazner

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