Anand Subramoney

1.2k total citations · 1 hit paper
14 papers, 353 citations indexed

About

Anand Subramoney is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Anand Subramoney has authored 14 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 7 papers in Cognitive Neuroscience. Recurrent topics in Anand Subramoney's work include Advanced Memory and Neural Computing (7 papers), Neural dynamics and brain function (6 papers) and Neural Networks and Reservoir Computing (5 papers). Anand Subramoney is often cited by papers focused on Advanced Memory and Neural Computing (7 papers), Neural dynamics and brain function (6 papers) and Neural Networks and Reservoir Computing (5 papers). Anand Subramoney collaborates with scholars based in Germany, Austria and United Kingdom. Anand Subramoney's co-authors include Guillaume Bellec, Darjan Salaj, Wolfgang Maass, Robert Legenstein, Franz Scherr, Arne Roennau, Rüdiger Dillmann, Jacques Kaiser, Ashish Jain and Christian Mayr and has published in prestigious journals such as Nature Communications, Scientific Reports and eLife.

In The Last Decade

Anand Subramoney

12 papers receiving 351 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.

A solution to the learning dilemma for recurrent networks of spiking neurons

2020 269 citations Guillaume Bellec, Franz Scherr et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anand Subramoney Germany	6	286	223	161	84	8	14	353
Darjan Salaj Austria	3	257 0.9×	204 0.9×	139 0.9×	75 0.9×	7 0.9×	4	308
Franz Scherr Austria	5	300 1.0×	237 1.1×	155 1.0×	92 1.1×	14 1.8×	9	374
Guillaume Bellec Austria	6	319 1.1×	244 1.1×	175 1.1×	91 1.1×	23 2.9×	11	402
Eric Hunsberger Canada	3	269 0.9×	235 1.1×	127 0.8×	85 1.0×	13 1.6×	5	370
Georgios Detorakis United States	9	302 1.1×	220 1.0×	144 0.9×	114 1.4×	9 1.1×	13	390
Kristofor D. Carlson United States	8	202 0.7×	193 0.9×	122 0.8×	89 1.1×	28 3.5×	15	339
Yannik Stradmann Germany	5	362 1.3×	202 0.9×	174 1.1×	113 1.3×	5 0.6×	7	397
Hanle Zheng China	3	305 1.1×	216 1.0×	129 0.8×	49 0.6×	19 2.4×	5	343
Christopher Johansson Sweden	6	136 0.5×	161 0.7×	69 0.4×	59 0.7×	5 0.6×	16	228
Christian Pehle Germany	5	272 1.0×	131 0.6×	126 0.8×	103 1.2×	5 0.6×	7	301

Countries citing papers authored by Anand Subramoney

Since Specialization

Citations

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

Fields of papers citing papers by Anand Subramoney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anand Subramoney

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

All Works

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14 of 14 papers shown

1.

Subramoney, Anand, et al.. (2025). Early Prediction of Dynamic Sparsity in Large Language Models. 651–656.

2.

Vogginger, Bernhard, et al.. (2024). Language Modeling on a SpiNNaker2 Neuromorphic Chip. 492–496. 4 indexed citations

3.

Mayr, Christian, et al.. (2024). Scalable Event-by-Event Processing of Neuromorphic Sensory Signals with Deep State-Space Models. 124–131. 6 indexed citations

4.

Subramoney, Anand, et al.. (2024). Exploring the limits of hierarchical world models in reinforcement learning. Scientific Reports. 14(1). 26856–26856. 2 indexed citations

5.

Subramoney, Anand, Guillaume Bellec, Franz Scherr, Robert Legenstein, & Wolfgang Maass. (2024). Fast learning without synaptic plasticity in spiking neural networks. Scientific Reports. 14(1). 8557–8557. 3 indexed citations

6.

Mayr, Christian, et al.. (2024). Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. 132–139. 1 indexed citations

7.

Subramoney, Anand, et al.. (2022). Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers in Computational Neuroscience. 16. 885207–885207. 4 indexed citations

8.

Salaj, Darjan, et al.. (2021). Spike frequency adaptation supports network computations on temporally dispersed information. eLife. 10. 34 indexed citations

9.

Bellec, Guillaume, Franz Scherr, Anand Subramoney, et al.. (2020). A solution to the learning dilemma for recurrent networks of spiking neurons. Nature Communications. 11(1). 3625–3625. 269 indexed citations breakdown →

10.

Bellec, Guillaume, Franz Scherr, Darjan Salaj, et al.. (2019). Eligibility traces provide a data-inspired alternative to backpropagation through time. 5 indexed citations

11.

Subramoney, Anand, Sandra Diaz-Pier, A. Ravishankar Rao, et al.. (2019). IGITUGraz/L2L: v1.0.0-beta. Figshare.

12.

Kaiser, Jacques, et al.. (2017). Scaling up liquid state machines to predict over address events from dynamic vision sensors. Bioinspiration & Biomimetics. 12(5). 55001–55001. 16 indexed citations

13.

Jain, Ashish, et al.. (2012). Task decomposition with neuroevolution in extended predator-prey domain. 341–348. 7 indexed citations

14.

Subramoney, Anand. (2012). Evaluating Modular Neuroevolution in Robotic Keepaway Soccer. Texas ScholarWorks (Texas Digital Library). 2 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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