Uri Tasch

747 total citations
45 papers, 561 citations indexed

About

Uri Tasch is a scholar working on Small Animals, Biomedical Engineering and Plant Science. According to data from OpenAlex, Uri Tasch has authored 45 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Small Animals, 13 papers in Biomedical Engineering and 11 papers in Plant Science. Recurrent topics in Uri Tasch's work include Animal Behavior and Welfare Studies (13 papers), Robot Manipulation and Learning (6 papers) and Spectroscopy and Chemometric Analyses (6 papers). Uri Tasch is often cited by papers focused on Animal Behavior and Welfare Studies (13 papers), Robot Manipulation and Learning (6 papers) and Spectroscopy and Chemometric Analyses (6 papers). Uri Tasch collaborates with scholars based in United States, China and Israel. Uri Tasch's co-authors include P.G. Rajkondawar, Robert A. Dyer, Nagaraj K. Neerchal, Alan M. Lefcourt, M.A. Varner, Panos G. Charalambides, Marc Teboulle, David B. Geselowitz, Wenlong Tang and Rouben Rostamian and has published in prestigious journals such as Journal of Dairy Science, Journal of Materials Science and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Uri Tasch

41 papers receiving 511 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Uri Tasch United States	13	337	276	117	108	101	45	561
Guanghui Teng China	14	393 1.2×	341 1.2×	49 0.4×	35 0.3×	68 0.7×	47	675
Alberto Peña Fernández Belgium	12	247 0.7×	219 0.8×	38 0.3×	23 0.2×	56 0.6×	34	458
Ali Youssef Belgium	14	153 0.5×	161 0.6×	21 0.2×	15 0.1×	72 0.7×	64	753
Piotr Ślósarz Poland	13	83 0.2×	208 0.8×	128 1.1×	119 1.1×	29 0.3×	43	490
Mingzhou Lu China	13	201 0.6×	207 0.8×	24 0.2×	24 0.2×	75 0.7×	31	463
Johannes Baumgartner Austria	19	540 1.6×	469 1.7×	146 1.2×	103 1.0×	26 0.3×	38	853
Jørgen Kongsro Norway	15	264 0.8×	399 1.4×	215 1.8×	48 0.4×	64 0.6×	29	696
Junjie Han United States	7	222 0.7×	146 0.5×	52 0.4×	32 0.3×	20 0.2×	15	346
Veronica Redaelli Italy	15	246 0.7×	318 1.2×	93 0.8×	59 0.5×	33 0.3×	44	671
Said Benaissa Belgium	10	233 0.7×	179 0.6×	86 0.7×	50 0.5×	76 0.8×	15	443

Countries citing papers authored by Uri Tasch

Since Specialization

Citations

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

Fields of papers citing papers by Uri Tasch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uri Tasch

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

All Works

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20 of 20 papers shown

Hertl, J.A., et al.. (2020). Cost benefit analysis of automatic lameness detection systems in dairy herds: A dynamic programming approach. Preventive Veterinary Medicine. 178. 104993–104993. 14 indexed citations

Hubbard, Robert P., et al.. (2019). Evaluating Skilled Prehension in Mice Using an Auto-Trainer. Journal of Visualized Experiments. 1 indexed citations

Dyer, Robert A., et al.. (2015). Predictive models of lameness in dairy cows achieve high sensitivity and specificity with force measurements in three dimensions. Journal of Dairy Research. 82(4). 391–399. 16 indexed citations

Neerchal, Nagaraj K., et al.. (2011). Modeling bovine lameness with limb movement variables. Journal of Biomedical Science and Engineering. 4(6). 419–425. 2 indexed citations

Liu, Jianbo, Robert A. Dyer, Nagaraj K. Neerchal, Uri Tasch, & P.G. Rajkondawar. (2011). Diversity in the magnitude of hind limb unloading occurs with similar forms of lameness in dairy cows. Journal of Dairy Research. 78(2). 168–177. 24 indexed citations

Tang, Wenlong, et al.. (2010). Locomotion analysis of Sprague–Dawley rats before and after injecting 6-OHDA. Behavioural Brain Research. 210(1). 131–133. 7 indexed citations

Tang, Wenlong, Richard M. Lovering, Joseph A. Roche, et al.. (2009). Gait analysis of locomotory impairment in rats before and after neuromuscular injury. Journal of Neuroscience Methods. 181(2). 249–256. 8 indexed citations

Neerchal, Nagaraj K., et al.. (2009). Enhancing the prediction accuracy of bovine lameness models through transformations of limb movement variables. Journal of Dairy Science. 92(6). 2539–2550. 22 indexed citations

Lefcourt, Alan M., et al.. (2009). Orienting apples for imaging using their inertial properties and random apple loading. Biosystems Engineering. 104(1). 64–71. 12 indexed citations

10.

Tang, Wenlong, Uri Tasch, Nagaraj K. Neerchal, Liang Zhu, & Paul Yarowsky. (2008). Measuring early pre-symptomatic changes in locomotion of SOD1-G93A rats—A rodent model of amyotrophic lateral sclerosis. Journal of Neuroscience Methods. 176(2). 254–262. 11 indexed citations

11.

Lefcourt, Alan M., et al.. (2008). Orientation of Apples Using Their Inertial Properties. Transactions of the ASABE. 51(6). 2073–2081. 3 indexed citations

12.

Dyer, Robert A., et al.. (2007). Objective Determination of Claw Pain and Its Relationship to Limb Locomotion Score in Dairy Cattle. Journal of Dairy Science. 90(10). 4592–4602. 80 indexed citations

13.

Rajkondawar, P.G., Robert A. Dyer, Nagaraj K. Neerchal, et al.. (2006). Comparison of Models to Identify Lame Cows Based on Gait and Lesion Scores, and Limb Movement Variables. Journal of Dairy Science. 89(11). 4267–4275. 59 indexed citations

14.

Rajkondawar, P.G., Alan M. Lefcourt, Nagaraj K. Neerchal, et al.. (2002). THE DEVELOPMENT OF AN OBJECTIVE LAMENESS SCORING SYSTEM FOR DAIRY HERDS: PILOT STUDY. Transactions of the ASAE. 45(4). 35 indexed citations

15.

Rajkondawar, P.G., et al.. (2000). A walkthrough gait analysis system that detects lameness of dairy herds.. 1–11. 1 indexed citations

16.

Tasch, Uri, et al.. (1998). Optimal grasping formulations that result in high quality and robust configurations. Journal of Robotic Systems. 15(12). 713–729. 1 indexed citations

17.

Varma, Venugopal Koikal & Uri Tasch. (1995). A new representation for a robot grasping quality measure. Robotica. 13(3). 287–295. 9 indexed citations

18.

Gardner, John, et al.. (1993). Aortic Pressure Estimation With Electro-Mechanical Circulatory Assist Devices. Journal of Biomechanical Engineering. 115(2). 187–194. 4 indexed citations

19.

Klute, Glenn K., Uri Tasch, & David B. Geselowitz. (1992). An optimal controller for an electric ventricular-assist device: Theory, implementation, and testing. IEEE Transactions on Biomedical Engineering. 39(4). 394–403. 14 indexed citations

20.

Tasch, Uri, et al.. (1990). An adaptive aortic pressure observer for the Penn State electric ventricular assist device. IEEE Transactions on Biomedical Engineering. 37(4). 374–383. 7 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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