Philipp Scholl

122 total papers · 791 total citations
57 papers, 469 citations indexed

About

Philipp Scholl is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Human-Computer Interaction. According to data from OpenAlex, Philipp Scholl has authored 57 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 14 papers in Electrical and Electronic Engineering and 10 papers in Human-Computer Interaction. Recurrent topics in Philipp Scholl's work include Context-Aware Activity Recognition Systems (18 papers), Human Mobility and Location-Based Analysis (8 papers) and Smart Grid Energy Management (5 papers). Philipp Scholl is often cited by papers focused on Context-Aware Activity Recognition Systems (18 papers), Human Mobility and Location-Based Analysis (8 papers) and Smart Grid Energy Management (5 papers). Philipp Scholl collaborates with scholars based in Germany, Japan and Finland. Philipp Scholl's co-authors include Kristof Van Laerhoven, Matthias Wille, Bernd Becker, Suranga Nanayakkara, Denys J. C. Matthies, Jürgen Steimle, Sascha Wischniewski, Stefan Kohlbrecher, Vinay Sachidananda and Don Samitha Elvitigala and has published in prestigious journals such as Energies, Computers in Biology and Medicine and Robotics and Computer-Integrated Manufacturing.

In The Last Decade

Philipp Scholl

51 papers receiving 456 citations

Author Peers

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

Author						Papers	Cites
Philipp Scholl	156	143	108	85	81	57	469
Jerzy Wtorek	135 0.9×	70 0.5×	210 1.9×	131 1.5×	125 1.5×	89	535
Gede Putra Kusuma	116 0.7×	159 1.1×	62 0.6×	51 0.6×	31 0.4×	60	551
Qing Jiang	116 0.7×	85 0.6×	43 0.4×	50 0.6×	47 0.6×	46	501
Felix G. Hamza-Lup	154 1.0×	158 1.1×	42 0.4×	30 0.4×	69 0.9×	65	444
Gerald Bieber	85 0.5×	214 1.5×	133 1.2×	51 0.6×	41 0.5×	57	501
Aung Aung Phyo Wai	53 0.3×	99 0.7×	134 1.2×	75 0.9×	165 2.0×	45	461
Vigneshwaran Subbaraju	51 0.3×	226 1.6×	78 0.7×	125 1.5×	121 1.5×	33	551
Kwangtaek Kim	122 0.8×	147 1.0×	100 0.9×	95 1.1×	119 1.5×	57	527
Ahyoung Choi	39 0.3×	95 0.7×	149 1.4×	47 0.6×	78 1.0×	44	471
Stefan Marks	132 0.8×	108 0.8×	29 0.3×	64 0.8×	109 1.3×	39	408

Countries citing papers authored by Philipp Scholl

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Scholl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Scholl

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