Tim Landgraf

1.6k total citations
46 papers, 786 citations indexed

About

Tim Landgraf is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science. According to data from OpenAlex, Tim Landgraf has authored 46 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ecology, Evolution, Behavior and Systematics, 18 papers in Genetics and 10 papers in Insect Science. Recurrent topics in Tim Landgraf's work include Plant and animal studies (20 papers), Insect and Arachnid Ecology and Behavior (18 papers) and Animal Behavior and Reproduction (11 papers). Tim Landgraf is often cited by papers focused on Plant and animal studies (20 papers), Insect and Arachnid Ecology and Behavior (18 papers) and Animal Behavior and Reproduction (11 papers). Tim Landgraf collaborates with scholars based in Germany, United States and United Kingdom. Tim Landgraf's co-authors include Raúl Rojas, David Bierbach, Jens Krause, Paweł Romańczuk, Benjamin Wild, Hai Nguyen, Randolf Menzel, Juliane Lukas, Iain D. Couzin and Michael L. Smith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Tim Landgraf

43 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Landgraf Germany	19	395	285	199	101	98	46	786
Sara Arganda Spain	11	399 1.0×	306 1.1×	143 0.7×	186 1.8×	128 1.3×	15	953
Grégory Sempo Belgium	13	386 1.0×	358 1.3×	75 0.4×	43 0.4×	58 0.6×	20	791
Chris R. Reid Australia	17	524 1.3×	228 0.8×	146 0.7×	80 0.8×	41 0.4×	39	1.1k
Alfonso Pérez‐Escudero Spain	15	468 1.2×	249 0.9×	48 0.2×	130 1.3×	196 2.0×	34	1.6k
Imen Saïd France	8	156 0.4×	198 0.7×	116 0.6×	69 0.7×	24 0.2×	11	527
Alice A. Robie United States	11	507 1.3×	473 1.7×	93 0.5×	679 6.7×	58 0.6×	15	1.4k
Robert C. Hinz Portugal	5	259 0.7×	129 0.5×	34 0.2×	95 0.9×	162 1.7×	6	926
T. M. Schaerf Australia	16	669 1.7×	316 1.1×	113 0.6×	16 0.2×	213 2.2×	46	1.2k
John A. Bender United States	13	609 1.5×	481 1.7×	103 0.5×	594 5.9×	151 1.5×	25	1.5k
Hannah M. Rowland United Kingdom	20	977 2.5×	338 1.2×	149 0.7×	148 1.5×	118 1.2×	59	1.4k

Countries citing papers authored by Tim Landgraf

Since Specialization

Citations

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

Fields of papers citing papers by Tim Landgraf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Landgraf

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

Busch, Felix, Hai Nguyen, Sebastian Ziegelmayer, et al.. (2025). Evaluation of a Retrieval-Augmented Generation-Powered Chatbot for Pre-CT Informed Consent: a Prospective Comparative Study. Journal of Imaging Informatics in Medicine. 38(6). 4312–4323. 2 indexed citations

Landgraf, Tim, et al.. (2025). Honeybees express foodward flight vectors after a detour. Journal of Experimental Biology. 228(22).

Davidson, Jacob D., et al.. (2023). Honey bee drones are synchronously hyperactive inside the nest. Animal Behaviour. 203. 207–223. 6 indexed citations

Smith, Michael L., et al.. (2023). Honeybee lifetime tracking data 2019 - queen. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Wild, Benjamin, et al.. (2023). Machine learning reveals the waggle drift’s role in the honey bee dance communication system. PNAS Nexus. 2(9). pgad275–pgad275. 3 indexed citations

Davidson, Jacob D., Anja Weidenmüller, Benjamin Wild, et al.. (2023). How honeybees respond to heat stress from the individual to colony level. Journal of The Royal Society Interface. 20(207). 20230290–20230290. 12 indexed citations

Benzmüller, Christoph, et al.. (2023). The Evolution of Pro-Kremlin Propaganda From a Machine Learning and Linguistics Perspective.

Smith, Michael L., et al.. (2022). Behavioral variation across the days and lives of honey bees. iScience. 25(9). 104842–104842. 21 indexed citations

Bierbach, David, Juliane Lukas, Verena V. Hafner, et al.. (2022). Live fish learn to anticipate the movement of a fish-like robot ^*. Bioinspiration & Biomimetics. 17(6). 65007–65007. 4 indexed citations

10.

Doran, Carolina, David Bierbach, Juliane Lukas, et al.. (2021). Fish waves as emergent collective antipredator behavior. Current Biology. 32(3). 708–714.e4. 36 indexed citations

11.

Wild, Benjamin, Adrian Zachariae, Michael L. Smith, et al.. (2021). Social networks predict the life and death of honey bees. Nature Communications. 12(1). 1110–1110. 48 indexed citations

12.

Jolles, Jolle W., et al.. (2020). Group-level patterns emerge from individual speed as revealed by an extremely social robotic fish. Biology Letters. 16(9). 20200436–20200436. 17 indexed citations

13.

Landgraf, Tim, et al.. (2020). When Explanations Lie: Why Many Modified BP Attributions Fail. International Conference on Machine Learning. 1. 9046–9057. 7 indexed citations

14.

Landgraf, Tim, et al.. (2019). When Explanations Lie: Why Modified BP Attribution Fails.. arXiv (Cornell University). 6 indexed citations

15.

Bierbach, David, Tim Landgraf, Paweł Romańczuk, et al.. (2018). Using a robotic fish to investigate individual differences in social responsiveness in the guppy. Royal Society Open Science. 5(8). 181026–181026. 38 indexed citations

16.

Bierbach, David, Juliane Lukas, Christiane Weber, et al.. (2018). Insights into the Social Behavior of Surface and Cave-Dwelling Fish (Poecilia mexicana) in Light and Darkness through the Use of a Biomimetic Robot. Frontiers in Robotics and AI. 5. 3–3. 26 indexed citations

17.

Nawrot, Martin Paul, et al.. (2017). A neural network model for familiarity and context learning during honeybee foraging flights. Biological Cybernetics. 112(1-2). 113–126. 24 indexed citations

18.

Landgraf, Tim, et al.. (2016). RoboFish: increased acceptance of interactive robotic fish with realistic eyes and natural motion patterns by live Trinidadian guppies. Bioinspiration & Biomimetics. 11(1). 15001–15001. 70 indexed citations

19.

Landgraf, Tim, et al.. (2014). Modelling and Correction of Influences on Surface Temperature Measurements using infrared thermography for animal health and welfare assessments. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6 indexed citations

20.

Hussaini, S. Abid, et al.. (2009). Sleep deprivation affects extinction but not acquisition memory in honeybees. Learning & Memory. 16(11). 698–705. 45 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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