Johann Schlichter

84 total papers · 1.1k total citations
26 papers, 364 citations indexed

About

Johann Schlichter is a scholar working on Artificial Intelligence, Social Psychology and Information Systems. According to data from OpenAlex, Johann Schlichter has authored 26 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Social Psychology and 4 papers in Information Systems. Recurrent topics in Johann Schlichter's work include Vehicular Ad Hoc Networks (VANETs) (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Hermeneutics and Narrative Identity (2 papers). Johann Schlichter is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Hermeneutics and Narrative Identity (2 papers). Johann Schlichter collaborates with scholars based in Germany, Egypt and United States. Johann Schlichter's co-authors include Uwe M. Borghoff, Karim Emara, Wolfgang Woerndl, Michael Koch, Bernard Bäker, Gail E. Kaiser, Peter H. Feiler, Michael Hoffmann, Remo Pareschi and Markus Straßberger and has published in prestigious journals such as Journal of the Association for Information Systems, Computer Networks and Computer Communications.

In The Last Decade

Johann Schlichter

21 papers receiving 337 citations

Author Peers

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

Author						Papers	Cites
Johann Schlichter	155	143	93	77	66	26	364
Pincan Zhao	93 0.6×	99 0.7×	115 1.2×	103 1.3×	35 0.5×	26	329
Edin Arnautović	114 0.7×	60 0.4×	63 0.7×	169 2.2×	72 1.1×	26	367
Giovanni Malnati	38 0.2×	119 0.8×	95 1.0×	67 0.9×	44 0.7×	31	370
Stephen Smith	36 0.2×	41 0.3×	49 0.5×	70 0.9×	22 0.3×	64	393
Saydul Akbar Murad	150 1.0×	26 0.2×	77 0.8×	120 1.6×	10 0.2×	31	386
Vinícius P. Gonçalves	55 0.4×	90 0.6×	92 1.0×	39 0.5×	29 0.4×	55	329
Saverio Delpriori	133 0.9×	50 0.3×	30 0.3×	32 0.4×	38 0.6×	23	356
Andrew Ponomarev	91 0.6×	25 0.2×	33 0.4×	103 1.3×	16 0.2×	67	363
Kailash Kumar	90 0.6×	54 0.4×	95 1.0×	107 1.4×	13 0.2×	44	358
Izaskun Fernández	89 0.6×	41 0.3×	36 0.4×	29 0.4×	28 0.4×	29	353

Countries citing papers authored by Johann Schlichter

Since Specialization

Citations

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

Fields of papers citing papers by Johann Schlichter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johann Schlichter

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