Jonas Horsch

Electrical and Electronic Engineering · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jonas Horsch trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Tom Brown
  2. David P. Schlachtberger
  3. Federico E. Milano
  4. Timothy A. Davis
  5. Ahmed K. Elmagarmid
  6. Ion Androutsopoulos
  7. Fernando Pérez
  8. Y. Scholz
  9. M. I. Ray D. Zimmerman
  10. Siu Kwan Lam

Who trusts Jonas Horsch overall

  1. Marta Victoria
  2. Tom Brown
  3. Christian Breyer
  4. David P. Schlachtberger
  5. E. Zeyen

Papers from Jonas Horsch's perspective

Ordered by how strongly the researchers Jonas Horsch trusts endorse each paper. Same corpus, a different order for every researcher.

  1. SciPy: Open Source Scientific Tools for Python
  2. An open source power system analysis toolbox (IEEE Power Engineering Society General Meeting)
  3. The NumPy Array: A Structure for Efficient Numerical Computation
  4. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education (IEEE Transactions on Power Systems)
  5. Duplicate Record Detection: A Survey (IEEE Transactions on Knowledge and Data Engineering)
  6. Matplotlib: A 2D Graphics Environment
  7. An experimental comparison of naive Bayesian and keyword-based anti-spam filtering with personal e-mail messages (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  8. Numba: a LLVM-based Python JIT compiler
  9. Pyomo: modeling and solving mathematical programs in Python (Mathematical Programming Computation)
  10. Approximate model of European interconnected system as a benchmark system to study effects of cross-border trades (IEEE Transactions on Power Systems)

Their papers