Daniel Ruffinelli

637 total citations
6 papers, 201 citations indexed

About

Daniel Ruffinelli is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Daniel Ruffinelli has authored 6 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 1 paper in Molecular Biology. Recurrent topics in Daniel Ruffinelli's work include Advanced Graph Neural Networks (4 papers), Topic Modeling (3 papers) and Low-power high-performance VLSI design (2 papers). Daniel Ruffinelli is often cited by papers focused on Advanced Graph Neural Networks (4 papers), Topic Modeling (3 papers) and Low-power high-performance VLSI design (2 papers). Daniel Ruffinelli collaborates with scholars based in Germany, Paraguay and Switzerland. Daniel Ruffinelli's co-authors include Heiner Stuckenschmidt, Christian Meilicke, Melisachew Wudage Chekol, Rainer Gemulla, Samuel Broscheit, Benjamı́n Barán, Christopher Malon, Graham Neubig, Carolin Lawrence and Pengfei Liu and has published in prestigious journals such as Quantum Information Processing, MADOC (University of Mannheim) and MADOC (University of Mannheim).

In The Last Decade

Daniel Ruffinelli

6 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Ruffinelli Germany	4	184	38	23	18	16	6	201
Seyed Mehran Kazemi Canada	6	139 0.8×	23 0.6×	17 0.7×	10 0.6×	16 1.0×	15	154
Lingbing Guo China	8	289 1.6×	145 3.8×	27 1.2×	6 0.3×	12 0.8×	12	305
Apoorv Saxena India	3	260 1.4×	30 0.8×	64 2.8×	4 0.2×	9 0.6×	5	289
Yuning You United States	6	143 0.8×	8 0.2×	36 1.6×	28 1.6×	37 2.3×	8	190
Kathryn Mazaitis United States	6	319 1.7×	32 0.8×	54 2.3×	9 0.5×	12 0.8×	10	342
Ingo Thon Belgium	7	141 0.8×	15 0.4×	16 0.7×	17 0.9×	4 0.3×	15	162
Nijat R. Isazade Azerbaijan	8	320 1.7×	9 0.2×	8 0.3×	11 0.6×	5 0.3×	9	339
Lappoon R. Tang United States	5	212 1.2×	6 0.2×	12 0.5×	33 1.8×	6 0.4×	7	230
Pushpendre Rastogi United States	8	373 2.0×	17 0.4×	74 3.2×	2 0.1×	14 0.9×	15	398
Veronika Thost Germany	5	88 0.5×	12 0.3×	5 0.2×	12 0.7×	7 0.4×	23	98

Countries citing papers authored by Daniel Ruffinelli

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Ruffinelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ruffinelli

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

All Works

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6 of 6 papers shown

1.

Gashteovski, Kiril, Pengfei Liu, Christopher Malon, et al.. (2022). KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. 338–350. 2 indexed citations

2.

Ruffinelli, Daniel, Samuel Broscheit, & Rainer Gemulla. (2020). You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings. MADOC (University of Mannheim). 44 indexed citations

3.

Broscheit, Samuel, et al.. (2020). LibKGE - A knowledge graph embedding library for reproducible research. MADOC (University of Mannheim). 165–174. 34 indexed citations

4.

Meilicke, Christian, Melisachew Wudage Chekol, Daniel Ruffinelli, & Heiner Stuckenschmidt. (2019). Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. MADOC (University of Mannheim). 3137–3143. 107 indexed citations

5.

Ruffinelli, Daniel & Benjamı́n Barán. (2017). Linear nearest neighbor optimization in quantum circuits: a multiobjective perspective. Quantum Information Processing. 16(9). 12 indexed citations

6.

Ruffinelli, Daniel & Benjamı́n Barán. (2016). A multiobjective approach to linear nearest neighbor optimization for 2D quantum circuits. 18. 1–8. 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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