Alexander Richard

40 total papers · 1.4k total citations
20 papers, 674 citations indexed

About

Alexander Richard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Alexander Richard has authored 20 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Alexander Richard's work include Speech and Audio Processing (8 papers), Multimodal Machine Learning Applications (8 papers) and Human Pose and Action Recognition (8 papers). Alexander Richard is often cited by papers focused on Speech and Audio Processing (8 papers), Multimodal Machine Learning Applications (8 papers) and Human Pose and Action Recognition (8 papers). Alexander Richard collaborates with scholars based in Germany, United States and Israel. Alexander Richard's co-authors include Jüergen Gall, Hilde Kuehne, Yaser Sheikh, Fernando De la Torre, Michael Zollhöfer, Yandong Wen, Simon Wiesler, Ralf Schlüter, Hermann Ney and Dejan Marković and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Alexander Richard

20 papers receiving 636 citations

Author Peers

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

Author						Papers	Cites
Alexander Richard	507	341	137	64	42	20	674
Rui Qian	497 1.0×	306 0.9×	73 0.5×	47 0.7×	57 1.4×	26	647
Marc‐André Carbonneau	301 0.6×	370 1.1×	107 0.8×	34 0.5×	25 0.6×	16	700
Lincheng Li	570 1.1×	80 0.2×	193 1.4×	89 1.4×	50 1.2×	38	717
Shaohe Lv	300 0.6×	207 0.6×	140 1.0×	14 0.2×	59 1.4×	40	754
Wenliang Zhao	482 1.0×	280 0.8×	43 0.3×	26 0.4×	25 0.6×	18	655
Boyuan Jiang	516 1.0×	356 1.0×	39 0.3×	41 0.6×	47 1.1×	20	656
Yanhao Zhang	532 1.0×	266 0.8×	55 0.4×	29 0.5×	31 0.7×	48	712
Lulu Chen	433 0.9×	74 0.2×	128 0.9×	37 0.6×	91 2.2×	23	559
Shu Wang	426 0.8×	124 0.4×	72 0.5×	31 0.5×	19 0.5×	17	672
Hedvig Sidenbladh	414 0.8×	339 1.0×	46 0.3×	105 1.6×	48 1.1×	19	711

Countries citing papers authored by Alexander Richard

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Richard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Richard

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