Michael J. Black

1.9k total citations · 1 hit paper
33 papers, 1.3k citations indexed

About

Michael J. Black is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Surgery. According to data from OpenAlex, Michael J. Black has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Michael J. Black's work include Human Pose and Action Recognition (6 papers), Radical Photochemical Reactions (5 papers) and 3D Shape Modeling and Analysis (5 papers). Michael J. Black is often cited by papers focused on Human Pose and Action Recognition (6 papers), Radical Photochemical Reactions (5 papers) and 3D Shape Modeling and Analysis (5 papers). Michael J. Black collaborates with scholars based in United States, Germany and Australia. Michael J. Black's co-authors include Richard B. Brandt, Mary Ellen Jones, Bernard McC. OʼBrien, Todd K. Hyster, Andrew J. Meichan, Kyle F. Biegasiewicz, Remo Papini, Zahid B. M. Niazi, N.R. McLean and T Essex and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Physical Chemistry B.

In The Last Decade

Michael J. Black

33 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Skeletal Editing Approach to Bridge-Functionalized Bicyclo[1.1.1]pentanes from Azabicyclo[2.1.1]hexanes

2023 111 citations Michael J. Black et al. profile →

Peers

Michael J. Black

MB

SURGE

OC

CVPR

PRM

Young Hoon Son South Korea

Weiqian Chen China

Gan Chen China

Kohei Matsuda Japan

Kyung Hyun Kim South Korea

Mohammad Mirza‐Aghazadeh‐Attari Iran

Fanbo Meng China

Atsushi Sugimoto Japan

Litao Li China

Eiji Taniguchi Japan

Young Hoon Son South Korea

Michael J. Black

295 ×0.8

MB

112 ×0.4

SURGE

87 ×0.3

OC

45 ×0.3

CVPR

47 ×0.3

PRM

Citations per year, relative to Michael J. Black Michael J. Black (= 1×) peers Young Hoon Son

Countries citing papers authored by Michael J. Black

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Black

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Black. 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 Michael J. Black. The network helps show where Michael J. Black may publish in the future.

Co-authorship network of co-authors of Michael J. Black

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Black. A scholar is included among the top collaborators of Michael J. Black 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 Michael J. Black. Michael J. Black is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zuffi, Silvia, Ci Li, Hedvig Kjellström, et al.. (2024). VAREN: Very Accurate and Realistic Equine Network. 5374–5383. 1 indexed citations

2.

Taheri, Omid, et al.. (2024). WANDR: Intention-guided Human Motion Generation. 927–936. 5 indexed citations

3.

Petrovich, Mathis, Or Litany, Umar Iqbal, et al.. (2024). Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. SPIRE - Sciences Po Institutional REpository. 1911–1921. 8 indexed citations

4.

Zheng, Yufeng, Yifan Wang, Gordon Wetzstein, Michael J. Black, & Otmar Hilliges. (2023). PointAvatar: Deformable Point-Based Head Avatars from Videos. 21057–21067. 73 indexed citations

5.

Bolkart, Timo, Tianye Li, & Michael J. Black. (2023). Instant Multi-View Head Capture through Learnable Registration. 768–779. 11 indexed citations

6.

Riehl, Paul S., Daniel G. Oblinsky, Megan A. Emmanuel, et al.. (2022). Radical Termination via β-Scission Enables Photoenzymatic Allylic Alkylation Using “Ene”-Reductases. ACS Catalysis. 12(15). 9801–9805. 23 indexed citations

7.

Petrovich, Mathis, et al.. (2022). TEACH: Temporal Action Composition for 3D Humans. HAL (Le Centre pour la Communication Scientifique Directe). 414–423. 52 indexed citations

8.

Nakano, Yuji, Michael J. Black, Andrew J. Meichan, et al.. (2020). Photoenzymatic Hydrogenation of Heteroaromatic Olefins Using ‘Ene’‐Reductases with Photoredox Catalysts. Angewandte Chemie International Edition. 59(26). 10484–10488. 81 indexed citations

9.

Nakano, Yuji, Michael J. Black, Andrew J. Meichan, et al.. (2020). Photoenzymatic Hydrogenation of Heteroaromatic Olefins Using ‘Ene’‐Reductases with Photoredox Catalysts. Angewandte Chemie. 132(26). 10570–10574. 12 indexed citations

10.

Black, Michael J., Kyle F. Biegasiewicz, Andrew J. Meichan, et al.. (2019). Asymmetric redox-neutral radical cyclization catalysed by flavin-dependent ‘ene’-reductases. Nature Chemistry. 12(1). 71–75. 144 indexed citations

11.

Sekunova, Alla, et al.. (2013). Viewpoint and Pose in Body-Form Adaptation. Perception. 42(2). 176–186. 11 indexed citations

12.

Black, Michael J., et al.. (2006). Local/Cervical Block Anesthesia versus General Anesthesia for Minimally Invasive Parathyroidectomy: What are the Advantages?. Annals of Surgical Oncology. 14(2). 744–749. 19 indexed citations

13.

Nakeeb, Attila, Khoi Q. Tran, Michael J. Black, et al.. (2002). Improved survival in resected biliary malignancies. Surgery. 132(4). 555–564. 134 indexed citations

14.

Niazi, Zahid B. M., et al.. (1993). New laser doppler scanner, a valuable adjunct in burn depth assessment. Burns. 19(6). 485–489. 165 indexed citations

15.

Black, Michael J. & Richard B. Brandt. (1986). Nicotinic acid or N-methyl nicotinamide prolongs elevated brain dopa and dopamine in l-dopa treatment. Biochemical Medicine and Metabolic Biology. 36(2). 244–251. 5 indexed citations

16.

Black, Michael J. & Mary Ellen Jones. (1984). Characterization and significance of carbamyl phosphate phosphatase.. PubMed. 44(10). 4366–76. 3 indexed citations

17.

McClard, Ronald W., et al.. (1983). Neonatal diagnosis of orotic aciduria: An experience with one family. The Journal of Pediatrics. 102(1). 85–88. 4 indexed citations

18.

Black, Michael J., et al.. (1978). A rapid assay for 5-amino-4-imidazelecar☐amide ribotide transformylase. Analytical Biochemistry. 90(1). 397–401. 33 indexed citations

19.

OʼBrien, Bernard McC., et al.. (1978). Microvascular surgery in degloving injuries: An experimental study. British Journal of Plastic Surgery. 31(2). 117–120. 13 indexed citations

20.

Black, Michael J. & Richard B. Brandt. (1974). Spectrofluorometric analysis of hydrogen peroxide. Analytical Biochemistry. 58(1). 246–254. 111 indexed citations

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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